Fuzzy linear regression models with least square errors

To estimate the parameters of fuzzy linear regression models with fuzzy output and crisp inputs, we develop a mathematical programming model in this paper. The method is constructed on the basis of minimizing the square of the total difference between observed and estimated spread values or in other...

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Vydáno v:	Applied mathematics and computation Ročník 163; číslo 2; s. 977 - 989
Hlavní autoři:	Modarres, M., Nasrabadi, E., Nasrabadi, M.M.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York, NY Elsevier Inc 15.04.2005 Elsevier
Témata:	Calculus of variations and optimal control Exact sciences and technology Fuzzy linear regression Fuzzy numbers Linear inference, regression Mathematical analysis Mathematical programming Mathematics Numerical analysis Numerical analysis. Scientific computation Numerical methods in mathematical programming Numerical methods in mathematical programming, optimization and calculus of variations Probability and statistics Sciences and techniques of general use Statistics Fuzzy numbers Fuzzy linear regression Mathematical programming Error estimation Applied mathematics Least squares method Linear regression Optimization method Fuzzy number Mathematical model
ISSN:	0096-3003, 1873-5649
On-line přístup:	Získat plný text
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